---
title: hma
description: Learn about the Hull Moving Average (HMA), a responsive and smooth moving
  average indicator. Understand how to use the HMA, its parameters, and see examples
  using the OBBject library.
keywords:
- Hull Moving Average
- moving average
- lag
- smoothing
- data
- target column
- index column
- length
- offset
- OBBject
- examples
- openbb
- equity
- price
- historical
- symbol
- start date
- provider
---


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The Hull Moving Average.

Solves the age old dilemma of making a moving average more responsive to current
price activity whilst maintaining curve smoothness.
In fact the HMA almost eliminates lag altogether and manages to improve smoothing
at the same time.

Parameters
----------
data : List[Data]
List of data to be used for the calculation.
target : str
Target column name.
index : str, optional
Index column name to use with `data`, by default "date".
length : int, optional
Number of periods for the HMA, by default 50.
offset : int, optional
Offset of the HMA, by default 0.

Returns
-------
OBBject[List[Data]]
The calculated data.

Examples
--------
```python
from openbb import obb
stock_data = obb.equity.price.historical(symbol="TSLA", start_date="2023-01-01", provider="fmp")
hma_data = obb.technical.hma(data=stock_data.results,target="close",length=50,offset=0)
```


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## Parameters

This function does not take standardized parameters.

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## Returns

This function does not return a standardized model

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